Assessing Capacity and Capacity Utilization in Fisheries When Data Are Limited

Abstract Excess harvesting capacity is globally recognized by resource managers as a major problem for fisheries. Yet the concept of capacity remains vague, ill-defined, and often ambiguous. Measuring capacity and capacity utilization in fisheries has become more important than ever because of various national and international agreements or policies to reduce fishing capacity throughout the world. In this study, we develop definitions of capacity and a method to calculate capacity, capacity utilization, and optimum input utilization when data on landings, effort, and vessel attributes are all that are available for analysis. We illustrate the method by estimating and assessing the 1987–1990 capacity of 10 U.S. vessels participating in the mid-Atlantic fishery for sea scallops Placopecten magellanicus. We conclude that the 10 vessels had the capability to harvest considerably more than they actually did between 1987 and 1990.

[1]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[2]  G. Hanoch The "Backward-bending" Supply of Labor , 1965, Journal of Political Economy.

[3]  J. Kirkley,et al.  Commercial practices and fishery regulations. the United States northwest Atlantic sea scallop, Placopecten magellanicus (Gmelin, 1791), fishery , 1989 .

[4]  T. Coelli,et al.  Efficiency measurement, multiple-output technologies and distance functions: with application to European Railways , 2000 .

[5]  Dominique Gréboval Managing Fishing Capacity: Selected Papers on Underlying Concepts and Issues , 1999 .

[6]  R. Banker Maximum likelihood, consistency and data envelopment analysis: a statistical foundation , 1993 .

[7]  I. Siegel,et al.  The Measurement of Capacity Utilization , 1942 .

[8]  E. Berndt,et al.  Economic Capacity Utilization and Productivity Measurement for Multi-Product Firms with Multiple Quasi-Fixed Inputs , 1989 .

[9]  Ivar E. Strand,et al.  Characterizing Managerial Skill and Technical Efficiency in a Fishery , 1998 .

[10]  R. Färe,et al.  Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach , 1989 .

[11]  C. Morrison On the Economic Interpretation and Measurement of Optimal Capacity Utilization with Anticipatory Expectations , 1985 .

[12]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[13]  Halina M. Zaleski,et al.  Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches , 1999 .

[14]  S. H. Clark Status of fishery resources off the Northeastern United States for 1998 , 1998 .

[15]  C. A. Knox Lovell,et al.  Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA , 2000, Eur. J. Oper. Res..

[16]  Jean-Paul Chavas,et al.  Applied Production Analysis: A Dual Approach , 1988 .

[17]  John Ruggiero,et al.  Measuring technical efficiency , 2000, Eur. J. Oper. Res..

[18]  Rolf Färe,et al.  The Existence of Plant Capacity , 1984 .

[19]  Rolf Färe,et al.  Multi-Output Capacity Measures and Their Relevance for Productivity , 2000 .

[20]  Catherine J. Morrison,et al.  Primal and Dual Capacity Utilization: An Application to Productivity Measurement in the U.S. Automobile Industry , 1985 .

[21]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[22]  S. Garcia,et al.  CURRENT SITUATION, TRENDS AND PROSPECTS IN WORLD CAPTURE FISHERIES' , 1995 .

[23]  Kathleen Segerson,et al.  On the measurement of economic capacity utilization for multi-product industries , 1990 .

[24]  J. Kirkley,et al.  The technology and management of multi-species fisheries , 1988 .

[25]  Andrea Resti,et al.  Efficiency measurement for multi-product industries: A comparison of classic and recent techniques based on simulated data , 2000, Eur. J. Oper. Res..

[26]  Jesús T. Pastor,et al.  Linear programming approaches to the measurement and analysis of productive efficiency , 1994 .

[27]  R. Pollak,et al.  Specification and Estimation of Nonseparable Two-Stage Technologies: The Leontief CES and the Cobb-Douglas CES , 1987, Journal of Political Economy.

[28]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[29]  James E. Kirkley,et al.  Comparative Analysis of Sea Scallop Escapement/Retention and Resulting Economic Impacts , 1988 .

[30]  Ivar E. Strand,et al.  Assessing Technical Efficiency in Commercial Fisheries: The Mid-Atlantic Sea Scallop Fishery , 1995 .

[31]  Lawrence M. Seiford,et al.  Recent developments in dea : the mathematical programming approach to frontier analysis , 1990 .

[32]  R. R. Russell,et al.  Measures of technical efficiency , 1985 .

[33]  Lawrence R. Klein,et al.  The Wharton index of capacity utilization , 1967 .

[34]  S. Grosskopf,et al.  Primal and dual DEA measures of capacity utilization , 1999, PICMET '99: Portland International Conference on Management of Engineering and Technology. Proceedings Vol-1: Book of Summaries (IEEE Cat. No.99CH36310).

[35]  N. Vestergaard,et al.  Measuring capacity and capacity utilization in fisheries: the case of the Danish Gill-net fleet , 2003 .

[36]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .